pyresample

Geospatial image resampling in Python

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Development Status
- 5 - Production/Stable
Intended Audience
- Science/Research
License
- OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Operating System
- OS Independent
Programming Language
- Cython
- Python
Topic
- Scientific/Engineering

Project description

Pyresample

Pyresample is a python package for resampling geospatial image data. It is the primary method for resampling in the Satpy library, but can also be used as a standalone library. Resampling or reprojection is the process of mapping input geolocated data points to a new target geographic projection and area.

Pyresample can operate on both fixed grids of data and geolocated swath data. To describe these data Pyresample uses various "geometry" objects including the AreaDefinition and SwathDefinition classes.

Pyresample offers multiple resampling algorithms including:

Nearest Neighbor
Elliptical Weighted Average (EWA)
Bilinear

For nearest neighbor and bilinear interpolation pyresample uses a kd-tree approach by using the fast KDTree implementation provided by the pykdtree library. Pyresample works with numpy arrays and numpy masked arrays. Interfaces to XArray objects (including dask array support) are provided in separate Resampler class interfaces and are in active development. Utility functions are available to easily plot data using Cartopy.

Documentation

See pytroll.github.io for more information on the PyTroll group and related packages.

Citation

Hoese, D., Raspaud, M., Lahtinen, P., Roberts, W., Lavergne, et al. (2020). pytroll/pyresample: Version 1.16.0. Zenodo. https://doi.org/10.5281/zenodo.3372769

Project details

These details have not been verified by PyPI

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Development Status
- 5 - Production/Stable
Intended Audience
- Science/Research
License
- OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Operating System
- OS Independent
Programming Language
- Cython
- Python
Topic
- Scientific/Engineering

Release history Release notifications | RSS feed

This version

1.28.3

Apr 15, 2024

1.28.2

Feb 29, 2024

1.28.1

Feb 16, 2024

1.28.0

Feb 14, 2024

1.27.1

Jun 22, 2023

1.27.0

May 17, 2023

1.26.1

Feb 7, 2023

1.26.0.post0

Nov 24, 2022

1.26.0

Nov 24, 2022

1.25.1

Aug 2, 2022

1.25.0

Jul 29, 2022

1.24.1

Jul 7, 2022

1.24.0

Jul 6, 2022

1.23.0

Mar 22, 2022

1.22.3

Dec 8, 2021

1.22.2

Dec 3, 2021

1.22.1

Nov 18, 2021

1.22.0

Oct 25, 2021

1.21.1

Sep 17, 2021

1.21.0

Aug 19, 2021

1.20.0

Jun 4, 2021

1.19.0

Apr 14, 2021

1.18.1

Mar 23, 2021

1.18.0

Mar 13, 2021

1.17.0

Nov 12, 2020

1.16.0

Jun 10, 2020

1.15.0

Mar 20, 2020

1.14.0

Dec 22, 2019

1.13.2

Oct 8, 2019

1.13.1

Sep 26, 2019

1.13.0

Sep 13, 2019

1.12.3

May 17, 2019

1.12.2

May 10, 2019

1.12.1

Apr 25, 2019

1.12.0

Apr 7, 2019

1.11.2

Mar 19, 2019

1.11.0

Mar 15, 2019

1.10.3

Nov 23, 2018

1.10.2

Oct 1, 2018

1.10.1

Jul 3, 2018

1.10.0

Jun 25, 2018

1.9.3

Jun 8, 2018

1.9.2

May 13, 2018

1.9.1

May 3, 2018

1.9.0

Apr 27, 2018

1.8.3

Mar 19, 2018

1.8.2

Mar 1, 2018

1.8.1

Feb 22, 2018

1.7.1

Dec 21, 2017

1.7.0

Oct 13, 2017

1.6.1

Sep 18, 2017

1.6.0

Sep 12, 2017

1.5.0

May 2, 2017

1.4.1

Apr 7, 2017

1.4.0

Apr 2, 2017

1.3.1

Mar 22, 2017

1.3.0

Feb 7, 2017

1.2.9

Dec 13, 2016

1.2.8

Dec 6, 2016

1.2.7

Nov 15, 2016

1.2.6

Oct 19, 2016

1.2.5

Jul 21, 2016

1.2.4

Jun 27, 2016

1.2.3

Jun 21, 2016

1.2.2

Jun 21, 2016

1.2.1

Jun 21, 2016

1.2.0

Jun 21, 2016

1.1.6

Feb 25, 2016

1.1.4

Oct 8, 2015

1.1.3

Feb 3, 2015

1.1.2

Feb 3, 2015

1.1.1

Dec 12, 2014

1.1.0

Oct 23, 2013

1.0.0

Jul 3, 2013

0.8.0

Mar 20, 2013

0.7.13

Jan 23, 2013

0.7.12

Oct 18, 2012

0.7.11

Jul 3, 2012

0.7.10

May 14, 2012

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